Joint optimization of service request routing and instance placement in the microservice system

Abstract

Microservice architecture is a promising architectural style. It decomposes monolithic software into a set of loosely coupled containerized microservices and associates them into multiple microservice chains to serve service requests. The new architecture creates flexibility for service provisioning but also introduces increased energy consumption and low service performance. Efficient resource allocation is critical. Unfortunately, existing solutions are designed at a coarse level for virtual machine (VM)-based clouds and not optimized for such chain-oriented service provisioning. In this paper, we study the resource allocation optimization problem for service request routing and microservice instance placement, so as to jointly reduce both resource usage and chains’ end-to-end response time for saving energy and guaranteeing Quality of Service (QoS). We design detailed workload models for microservices and chains and formulate the optimization problem as a bi-criteria optimization problem. To address it, a three-stage scheme is proposed to search and optimize the trade-off decisions, route service requests into instances and deploy instances to servers in a balanced manner. Through numerical evaluations, we show that while assuring the same QoS, our scheme performs significantly better than and faster than benchmarking algorithms on reducing energy consumption and balancing load.